{"id":"W2171819377","doi":"10.1016/j.ijhydene.2012.02.182","title":"The effects of the micrometric and nanometric iron (Fe) additives on the mechanical and thermal dehydrogenation of lithium alanate (LiAlH4), its self-discharge at low temperatures and rehydrogenation","year":2012,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dehydrogenation; Ball mill; Solid solution; Hydrogen storage; Alloy; Desorption; Hydrogen; Ion; Metal; Materials science; Lattice constant; Chemistry; Chemical engineering; Analytical Chemistry (journal); Metallurgy; Diffraction; Physical chemistry; Catalysis; Adsorption; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255245,0.0001883371,0.0002681884,0.0002864748,0.0002204264,0.0000810173,0.0004510024,0.00009461989,0.0000389202],"category_scores_gemma":[0.0006697726,0.000095128,0.0001059139,0.0002841767,0.0001581931,0.0003072781,0.0002582636,0.0001132473,0.000002016841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007485935,"about_ca_system_score_gemma":0.00004150184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002050364,"about_ca_topic_score_gemma":0.000005362567,"domain_scores_codex":[0.9978721,0.0004412748,0.0005694602,0.0001702641,0.000720123,0.0002268069],"domain_scores_gemma":[0.9976501,0.0009699456,0.0008327413,0.0001662944,0.0002803311,0.0001005667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001189552,0.0001031813,0.000249087,0.00003407882,0.0001484592,0.000005295821,0.0003995257,0.00001987188,0.993765,0.004614062,0.00008127138,0.0004611938],"study_design_scores_gemma":[0.0004909335,0.0001579944,0.001392858,0.0001000474,0.00007171656,0.0002268421,0.00003473748,0.0001455875,0.9958223,0.0001622982,0.001292708,0.0001020515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925706,0.005914937,0.000007733017,0.0003697017,0.0008977469,0.0001512597,0.00004705068,0.000007475155,0.00003351688],"genre_scores_gemma":[0.9977196,0.001730639,0.00003792598,0.0001389657,0.0002639314,0.00001077374,0.000003105562,0.00001847104,0.000076519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005149089,"threshold_uncertainty_score":0.3879207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005115792467536281,"score_gpt":0.2152563567547578,"score_spread":0.2101405642872216,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}